Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks. - Siddharth Mahendran; Ming Yang Lu; Haider Ali 002; René Vidal (CoRR, 2018)

Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. - Ming Y. Lu; Richard J. Chen; Jingwen Wang; Debora Dillon; Faisal Mahmood 001 (CoRR, 2019)

Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. - Jingwen Wang; Richard J. Chen; Ming Y. Lu; Alexander S. Baras; Faisal Mahmood 001 (ISBI, 2020)

Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). - Ming Y. Lu; Richard J. Chen; Faisal Mahmood 001 (Digital Pathology, 2020)

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. - Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Richard J. Chen; Matteo Barbieri; Faisal Mahmood 001 (CoRR, 2020)

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. - Ming Y. Lu; Melissa Zhao; Maha Shady; Jana Lipková; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (CoRR, 2020)

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. - Richard J. Chen; Ming Y. Lu; Wei-Hung Weng; Tiffany Y. Chen; Drew F. K. Williamson; Trevor Manz; Maha Shady; Faisal Mahmood 001 (ICCV, 2021)

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. - Richard J. Chen; Ming Y. Lu; Muhammad Shaban; Chengkuan Chen; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (MICCAI (8), 2021)

Deep Learning-based Frozen Section to FFPE Translation. - Kutsev Bengisu Ozyoruk; Sermet Can; Guliz Irem Gokceler; Kayhan Basak; Derya Demir; Gurdeniz Serin; Uguray Payam Hacisalihoglu; Berkan Darbaz; Ming Y. Lu; Tiffany Y. Chen; Drew F. K. Williamson; Funda Yilmaz; et al. (CoRR, 2021)

Fast and Scalable Image Search For Histology. - Chengkuan Chen; Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Andrew J. Schaumberg; Faisal Mahmood 001 (CoRR, 2021)

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. - Richard J. Chen; Ming Y. Lu; Drew F. K. Williamson; Tiffany Y. Chen; Jana Lipková; Muhammad Shaban; Maha Shady; Mane Williams; Bumjin Joo; Zahra Noor; Faisal Mahmood 001 (CoRR, 2021)

Algorithm Fairness in AI for Medicine and Healthcare. - Richard J. Chen; Tiffany Y. Chen; Jana Lipková; Judy J. Wang; Drew F. K. Williamson; Ming Y. Lu; Sharifa Sahai; Faisal Mahmood 001 (CoRR, 2021)

AI-based pathology predicts origins for cancers of unknown primary. - Ming Y. Lu; Tiffany Y. Chen; Drew F. K. Williamson; Melissa Zhao; Maha Shady; Jana Lipková; Faisal Mahmood 001 (Nat., 2021)

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Federated learning for computational pathology on gigapixel whole slide images. - Ming Y. Lu; Richard J. Chen; Dehan Kong; Jana Lipková; Rajendra Singh; Drew F. K. Williamson; Tiffany Y. Chen; Faisal Mahmood 001 (Medical Image Anal., 2022)

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. - Richard J. Chen; Ming Y. Lu; Jingwen Wang; Drew F. K. Williamson; Scott J. Rodig; Neal I. Lindeman; Faisal Mahmood 001 (IEEE Trans. Medical Imaging, 2022)

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. - Ming Y. Lu; Bowen Chen; Andrew Zhang; Drew F. K. Williamson; Richard J. Chen; Tong Ding; Long Phi Le; Yung-Sung Chuang; Faisal Mahmood 001 (CVPR, 2023)

Towards a Visual-Language Foundation Model for Computational Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Ivy Liang; Tong Ding; Guillaume Jaume; Igor Odintsov; Andrew Zhang; Long Phi Le; Georg Gerber; Anil V. Parwani; et al. (CoRR, 2023)

A General-Purpose Self-Supervised Model for Computational Pathology. - Richard J. Chen; Tong Ding; Ming Y. Lu; Drew F. K. Williamson; Guillaume Jaume; Bowen Chen; Andrew Zhang; Daniel Shao; Andrew H. Song; Muhammad Shaban; Mane Williams; Anurag Vaidya; et al. (CoRR, 2023)

A Foundational Multimodal Vision Language AI Assistant for Human Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Kenji Ikamura; Georg Gerber; Ivy Liang; Long Phi Le; Tong Ding; Anil V. Parwani; Faisal Mahmood 001 (CoRR, 2023)

HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. - Guillaume Jaume; Paul Doucet; Andrew H. Song; Ming Yang Lu; Cristina Almagro-Pérez; Sophia J. Wagner; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Ahrong Kim; Faisal Mahmood 001 (NeurIPS, 2024)

Artificial Intelligence for Digital and Computational Pathology. - Andrew H. Song; Guillaume Jaume; Drew F. K. Williamson; Ming Y. Lu; Anurag Vaidya; Tiffany R. Miller; Faisal Mahmood 001 (CoRR, 2024)

Multimodal Whole Slide Foundation Model for Pathology. - Tong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang; Anurag J. Vaidya; Guillaume Jaume; Muhammad Shaban; Ahrong Kim; Drew F. K. Williamson; Bowen Chen; et al. (CoRR, 2024)

Molecular-driven Foundation Model for Oncologic Pathology. - Anurag Vaidya; Andrew Zhang; Guillaume Jaume; Andrew H. Song; Tong Ding; Sophia J. Wagner; Ming Y. Lu; Paul Doucet; Harry Robertson; Cristina Almagro-Pérez; Richard J. Chen; Dina ElHarouni; et al. (CoRR, 2025)

AI-driven 3D Spatial Transcriptomics. - Cristina Almagro-Pérez; Andrew H. Song; Luca L. Weishaupt; Ahrong Kim; Guillaume Jaume; Drew F. K. Williamson; Konstantin Hemker; Ming Y. Lu; Kritika Singh; Bowen Chen; Long Phi Le; Alexander S. Baras; et al. (CoRR, 2025)

A Foundation Model for Spatial Proteomics. - Muhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume; Yuchen Wang; Luca L. Weishaupt; Tong Ding; Anurag Vaidya; Abdallah Lamane; Daniel Shao; et al. (CoRR, 2025)

Do Multiple Instance Learning Models Transfer? - Daniel Shao; Richard J. Chen; Andrew H. Song; Joel Runevic; Ming Y. Lu; Tong Ding; Faisal Mahmood 001 (CoRR, 2025)

Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. - Chengkuan Chen; Luca L. Weishaupt; Drew F. K. Williamson; Richard J. Chen; Tong Ding; Bowen Chen; Anurag Vaidya; Long Phi Le; Guillaume Jaume; Ming Y. Lu; Faisal Mahmood 001 (CoRR, 2025)